{"id":"W36945846","doi":"10.20529/ijme.2023.022","title":"Paper Annotation with Learner Models","year":2005,"lang":"en","type":"article","venue":"Indian Journal of Medical Ethics","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Annotation; Recommender system; Variance (accounting); Software; Data science; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008971534,0.0008887317,0.0005689578,0.002928029,0.001124551,0.005767201,0.001917516,0.001910149,0.03815601],"category_scores_gemma":[0.07505157,0.0003851393,0.001034716,0.003057604,0.0006193193,0.008048462,0.002714512,0.002010927,0.01815972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182755,"about_ca_system_score_gemma":0.002364431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003375478,"about_ca_topic_score_gemma":0.003710867,"domain_scores_codex":[0.9893963,0.005574272,0.0008846913,0.001204869,0.002640946,0.0002990226],"domain_scores_gemma":[0.9236884,0.05240364,0.003176199,0.01037237,0.009487272,0.0008721504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001608991,0.0008066063,0.02658523,0.002105189,0.000147498,0.0009331071,0.006854569,0.02649458,0.007051453,0.04092735,0.1722254,0.7142601],"study_design_scores_gemma":[0.00018112,0.0002827778,0.01260948,0.00113262,0.0001976628,0.0006789246,0.003777174,0.2950644,0.03188488,0.06921045,0.584687,0.000293616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08417581,0.0009561436,0.6627715,0.009619129,0.003312143,0.002186844,0.03038289,0.0352047,0.1713908],"genre_scores_gemma":[0.516677,0.001062888,0.3581815,0.001369477,0.000705745,0.001890287,0.03099529,0.00542499,0.08369288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03815601,"threshold_uncertainty_score":0.1276445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04000373723081287,"score_gpt":0.3543751836636655,"score_spread":0.3143714464328527,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}